code: def input_values():
      values = {
          "y_true": [
              "0",
              "0",
              "0",
              "0",
              "0",
              "1",
              "1",
              "1",
              "a",
              "a",
              "a",
              "a",
          ],
          "y_pred": [
              "0",
              "0",
              "0",
              "1",
              "1",
              "1",
              "1",
              "1",
              "a",
              "a",
              "a",
              "a",
          ],
          "expected_precision": {"0": 1.0, "1": 0.6, "a": 1.0},
          "expected_recall": {"0": 0.6, "1": 1.0, "a": 1.0},
          "expected_f1_score": {"0": 0.75, "1": 0.75, "a": 1.0},
          "expected_confusion_matrix": np.array(
              [[3, 2, 0], [0, 3, 0], [0, 0, 4]]
          ),
          "sample_weight": [1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0],
          "expected_precision_with_weight": {
              "0": 1.0,
              "1": 1.0,
              "a": 0.0,
          },
          "expected_matthews_corrcoef": 0.7872340425531915,
          "expected_matthews_corrcoef_with_weight": 1.0,
          "expected_informedness_statistic": 0.8,
          "expected_informedness_statistic_with_weight": 1.0,
      }
      return values
  
imports: import numpy
  import pandas
  import pytest
  from greykite.detection.common.ad_evaluation import confusion_matrix
  from greykite.detection.common.ad_evaluation import f1_score
  from greykite.detection.common.ad_evaluation import informedness_statistic
  from greykite.detection.common.ad_evaluation import matthews_corrcoef
  from greykite.detection.common.ad_evaluation import precision_score
  from greykite.detection.common.ad_evaluation import range_based_precision_score
  from greykite.detection.common.ad_evaluation import range_based_recall_score
  from greykite.detection.common.ad_evaluation import recall_score
  from greykite.detection.common.ad_evaluation import soft_f1_score
  from greykite.detection.common.ad_evaluation import soft_precision_score
  from greykite.detection.common.ad_evaluation import soft_recall_score
label_desc: Use image node_id 1 for calling a global function with example usage: input_values() and returns: values